Genome scanning with array CGH delineates regional alterations in mouse islet carcinomas

Chromosomal localization of DNA amplifications in neuroblastoma tumors using cDNA microarray comparative genomic hybridization

Conventional comparative genomic hybridization (CGH) profiling of neuroblastomas has identified many genomic aberrations, although the limited resolution has precluded a precise localization of sequences of interest within amplicons. To map high copy number genomic gains in clinically matched stage IV neuroblastomas, CGH analysis using a 19,200-feature cDNA microarray was used. A dedicated (freely available) algorithm was developed for rapid in silico determination of chromosomal localizations of microarray cDNA targets, and for generation of an ideogram-type profile of copy number changes. Using these methodologies, novel gene amplifications undetectable by chromosome CGH were identified, and larger MYCN amplicon sizes (in one tumor up to 6 Mb) than those previously reported in neuroblastoma were identified. The genes HPCAL1, LPIN1/KIAA0188, NAG, and NSE1/LOC151354 were found to be coamplified with MYCN. To determine whether stage IV primary tumors could be further subclassified based on their genomic copy number profiles, hierarchical clustering was performed. Cluster analysis of microarray CGH data identified three groups: 1) no amplifications evident, 2) a small MYCN amplicon as the only detectable imbalance, and 3) a large MYCN amplicon with additional gene amplifications. Application of CGH to cDNA microarray targets will help to determine both the variation of amplicon size and help better define amplification-dependent and independent pathways of progression in neuroblastoma.

Digital karyotyping

Alterations in the genetic content of a cell are the underlying cause of many human diseases, including cancers. We have developed a method, called digital karyotyping, that provides quantitative analysis of DNA copy number at high resolution. This approach involves the isolation and enumeration of short sequence tags from specific genomic loci. Analysis of human cancer cells by using this method identified gross chromosomal changes as well as amplifications and deletions, including regions not previously known to be altered. Foreign DNA sequences not present in the normal human genome could also be readily identified. Digital karyotyping provides a broadly applicable means for systematic detection of DNA copy number changes on a genomic scale.

Characterizing the physical genome

The genome of an organism is a dynamic physical entity, comprising genomic DNA bound to many different proteins and organized into chromosomes. A thorough characterization of the physical genome is relevant to our understanding of processes such as the regulation of gene expression, DNA replication and repair, recombination, chromosome segregation, epigenetic inheritance and genomic instability. Methods based on microarrays are beginning to provide a detailed picture of this physical genome, and they complement the genome-wide studies of mRNA expression profiling that have previously been so successful.

The detection of large deletions or duplications in genomic DNA

While methods for the detection of point mutations and small insertions or deletions in genomic DNA are well established, the detection of larger (>100 bp) genomic duplications or deletions can be more difficult. Most mutation scanning methods use PCR as a first step, but the subsequent analyses are usually qualitative rather than quantitative. Gene dosage methods based on PCR need to be quantitative (i.e., they should report molar quantities of starting material) or semi-quantitative (i.e., they should report gene dosage relative to an internal standard). Without some sort of quantitation, heterozygous deletions and duplications may be overlooked and therefore be under-ascertained. Gene dosage methods provide the additional benefit of reporting allele drop-out in the PCR. This could impact on SNP surveys, where large-scale genotyping may miss null alleles. Here we review recent developments in techniques for the detection of this type of mutation and compare their relative strengths and weaknesses. We emphasize that comprehensive mutation analysis should include scanning for large insertions and deletions and duplications.

Comparative analysis of comparative genomic hybridization microarray technologies: report of a workshop sponsored by the Wellcome Trust

BACKGROUND

Array-comparative genomic hybridization (CGH), although providing much higher resolution compared with conventional CGH, has not yet become a widely applied method for the analysis of genomic gains and losses.

METHODS

In January 2002, the Wellcome Trust sponsored a workshop where many of the laboratories developing this technology met to compare different methodologies for array-CGH. Fourteen groups participated, comprising 11 from Europe and 3 from the United States. To facilitate objective analysis, each laboratory constructed arrays using the same anonymous clones and performed a series of test hybridizations using identical genomic DNAs.

RESULTS

A figure of merit (FM) was developed to summarize entire collections of data from each laboratory in a single measurement. The FMs consistently showed that a few groups produced quantitative array hybridization data of high quality, whereas a majority achieved a lower standard.

CONCLUSIONS

The conclusions of the workshop were that polymerase chain reaction-based methods for the amplification of large insert clones for arraying were effective for array-CGH. It was also concluded that hybridizations performed under coverslips or in automated hybridization apparatus were less effective than hybridizations performed in simple wells with gentle rocking. A common experience by the participants was the batch-to-batch variability of commercial Cot1 preparations in their ability to suppress hybridization to repeat sequences. (Supplementary material for this article can be found in the online issue, which is available at http://www.interscience.wiley.com/jpages/0196-4763/suppmat/49_2/v49.43.html or at http://www.sanger.ac.uk/HGP/Cytogenetics/Publications/Cytometry Sept 2002/Supplemental.pdf.)

Modeling cancer in mice

The laboratory mouse is one of the most powerful tools for both gene discovery and validation in cancer genetics. Recent technological advances in engineering the mouse genome with chromosome translocations, latent alleles, and tissue-specific and temporally regulated mutations have provided more exacting models of human disease. The marriage of mouse tumor models with rapidly evolving methods to profile genetic and epigenetic alterations in tumors, and to finely map genetic modifier loci, will continue to provide insight into the key pathways leading to tumorigenesis. These discoveries hold great promise for identifying relevant drug targets for treating human cancer.

Comprehensive detection of genomic duplications and deletions in the DMD gene, by use of multiplex amplifiable probe hybridization

Duplications and deletions are known to cause a number of genetic disorders, yet technical difficulties and financial considerations mean that screening for these mutations, especially duplications, is often not performed. We have adapted multiplex amplifiable probe hybridization (MAPH) for the screening of the DMD gene, mutations in which cause Duchenne muscular dystrophy (DMD) and Becker muscular dystrophy. MAPH involves the quantitative recovery of specifically designed probes following hybridization to immobilized genomic DNA. We have engineered probes for each of the 79 exons of the DMD gene, and we analyzed them by using a 96-capillary sequencer. We screened 24 control individuals, 102 patients, and 23 potential carriers and detected a large number of novel rearrangements, especially small, one- and two-exon duplications. A duplication of exon 2 alone was the most frequently occurring mutation identified. Our analysis indicates that duplications occur in 6% of patients with DMD. The MAPH technique as modified here is simple, quick, and accurate; furthermore, it is based on existing technology (i.e., hybridization, PCR, and electrophoresis) and should not require new equipment. Together, these features should allow easy implementation in routine diagnostic laboratories. Furthermore, the methodology should be applicable to any genetic disease, it should be easily expandable to cover >200 probes, and its characteristics should facilitate high-throughput screening.

Telomere dysfunction provokes regional amplification and deletion in cancer genomes

Telomere dysfunction and associated fusion-breakage in the mouse encourages epithelial carcinogenesis and a more humanized genomic profile that includes nonreciprocal translocations (NRTs). Here, array comparative genomic hybridization was used to determine the pathogenic significance of NRTs and to determine whether telomere dysfunction also drives amplifications and deletions of cancer-relevant loci. Compared to tumors arising in mice with intact telomeres, tumors with telomere dysfunction possessed higher levels of genomic instability and showed numerous amplifications and deletions in regions syntenic to human cancer hotspots. These observations suggest that telomere-based crisis provides a mechanism of chromosomal instability, including regional amplifications and deletions, that drives carcinogenesis. This model provides a platform for discovery of genes responsible for the major cancers affecting aged humans.

Suppression of Myc-induced apoptosis in beta cells exposes multiple oncogenic properties of Myc and triggers carcinogenic progression

To explore the role of c-Myc in carcinogenesis, we have developed a reversible transgenic model of pancreatic beta cell oncogenesis using a switchable form of the c-Myc protein. Activation of c-Myc in adult, mature beta cells induces uniform beta cell proliferation but is accompanied by overwhelming apoptosis that rapidly erodes beta cell mass. Thus, the oncogenic potential of c-Myc in beta cells is masked by apoptosis. Upon suppression of c-Myc-induced beta cell apoptosis by coexpression of Bcl-x(L), c-Myc triggers rapid and uniform progression into angiogenic, invasive tumors. Subsequent c-Myc deactivation induces rapid regression associated with vascular degeneration and beta cell apoptosis. Our data indicate that highly complex neoplastic lesions can be both induced and maintained in vivo by a simple combination of two interlocking molecular lesions.

Conditional mouse models of sporadic cancer

First-generation mouse tumour models, which used transgenic mice or conventional knockouts, are now being superseded by models that are based on conditional knockouts and mice that carry regulatable oncogenes. In these mice, somatic mutations can be induced in a tissue-specific and time-controlled fashion, which more faithfully mimics sporadic tumour formation. These second-generation models provide exciting new opportunities to gain insight into the contribution of known and unknown genes in the initiation, progression and treatment of cancer, and mimic human cancer better than ever before.

Genome-wide detection of chromosomal imbalances in tumors using BAC microarrays

Chromosomal imbalances such as deletions and amplifications are common rearrangements in most tumors. Specific rearrangements are consistently associated with specific tumor types or stages, implicating the role of the genes in a region of chromosomal imbalance in tumor initiation and progression. The development of comparative genomic hybridization (CGH) has obviated the need to obtain metaphase spreads from tumors, so that the chromosomal imbalances in many solid tumors may be revealed using an extracted genomic DNA sample. However, the resolution of the cytogenetic method remains and the extreme technical difficulty of CGH has restricted its use. Conceptually, DNA microarray-based CGH is an obvious solution to all of the limitations of conventional CGH. Although arrays have been used for CGH studies, their success has been limited by poor specific signal-to-noise ratios. Here we demonstrate a microarray-based CGH method that allows reliable detection of chromosomal deletions and amplifications with high resolution. Our microarray system is fundamentally different from most current microarray technologies in that activated DNA is printed on natural glass surfaces while other systems almost exclusively focus on activating the surfaces, a strategy that invariably introduces hybridization backgrounds. The concept of using pre-modification may be generally applied for making arrays of other biological materials, as modifying the substrates will be more controllable in solution than on surfaces.

Cancer genomics

The draft human genome sequence and the dissemination of high throughput technology provides opportunities for systematic analysis of cancer cells. Genome-wide mutation screens, high resolution analysis of chromosomal abberations and expression profiling all give comprehensive views of genetic alterations in cancer cells. From these analyses will come a complete list of the genetic changes that drive malignant transformation and of the therapeutic targets that may be exploited for clinical benefit.

Cancer modeling in the modern era: progress and challenges

Genetically engineered mouse models have contributed extensively to the field of cancer research. The ability to manipulate the mouse germline affords numerous approaches toward understanding the complexities of this disease, possibly providing accurate preclinical models for therapeutic and diagnostic advances. This review highlights some of the current strategies for modeling cancer in the mouse, recent accomplishments, and key remaining challenges.